CN112000146B - Scheduling method and system of air temperature adjusting system - Google Patents
Scheduling method and system of air temperature adjusting system Download PDFInfo
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- CN112000146B CN112000146B CN201910445137.0A CN201910445137A CN112000146B CN 112000146 B CN112000146 B CN 112000146B CN 201910445137 A CN201910445137 A CN 201910445137A CN 112000146 B CN112000146 B CN 112000146B
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- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D23/00—Control of temperature
- G05D23/19—Control of temperature characterised by the use of electric means
Abstract
The present application relates to a method for scheduling an air temperature conditioning system, wherein the system comprises at least two air temperature conditioning devices, the method comprising: calculating an air temperature adjustment load of the target area for a first period of time based on the predicted parameters, wherein at least two air temperature adjustment devices are in communication with a space of the target area; the output power of the air temperature adjusting device is adjusted according to the air temperature adjusting load of the first period, the equipment parameter of the air temperature adjusting device and the energy price. An air temperature conditioning system comprising: at least two air temperature adjusting devices communicated with the space of the target area; the scheduling device is in communication connection with at least two air temperature adjusting devices, a scheduling program is preset in the scheduling device, and when the scheduling program is executed, the scheduling device executes the method.
Description
Technical Field
The application belongs to the field of automatic control, and particularly relates to a scheduling method and system of an air temperature adjusting system.
Background
The inventor of the application finds that at present, in large indoor places like airports, high temperature regulation requirements are ubiquitous, and energy consumption is relatively large. The existing air temperature adjusting system has low energy utilization efficiency and great waste. How to reasonably schedule the temperature adjusting device in the place, the cost is saved as far as possible while the comfort of personnel in the place is fully guaranteed, and the problem is solved.
Disclosure of Invention
One embodiment of the present application provides a scheduling method of an air temperature conditioning system, wherein the system includes at least two air temperature conditioning devices, the method including: calculating an air temperature adjustment load of a target area during a first period of time according to the predicted parameters, wherein the at least two air temperature adjustment devices are communicated with a space of the target area; and adjusting the output power of the air temperature adjusting device according to the air temperature adjusting load in the first time period, the equipment parameters of the air temperature adjusting device and the energy price.
With the above method, the air temperature adjustment load of the target area in the first period in the future can be predicted based on the prediction information. And each temperature adjusting device in the temperature adjusting system can be reasonably scheduled according to the prediction result. Therefore, the comfort of personnel in the place is fully guaranteed, and meanwhile, the cost is saved as far as possible.
An embodiment of the present application provides an air temperature conditioning system, including: at least two air temperature adjusting devices communicated with the space of the target area; the dispatching device is in communication connection with the at least two air temperature adjusting devices, a dispatching program is preset in the dispatching device, and when the dispatching program is executed, the dispatching device executes the method.
By performing the foregoing method using the above-described system, the air temperature adjustment load of the target area in the first period in the future can be predicted based on the prediction information. And each temperature adjusting device in the temperature adjusting system can be reasonably scheduled according to the prediction result. Therefore, the comfort of personnel in the place is fully guaranteed, and meanwhile, the cost is saved as far as possible.
Drawings
Fig. 1 is a flowchart illustrating a scheduling method 1000 according to an embodiment of the present application.
Detailed Description
The following embodiments are provided to illustrate the present invention by way of specific examples, and those skilled in the art will understand the advantages and effects of the present invention from the disclosure of the present specification. The invention is capable of other and different embodiments and its several details are capable of modification in various other respects, all without departing from the spirit and scope of the present invention. The drawings of the present invention are for illustrative purposes only and are not drawn to scale. The following embodiments will further explain the technical contents related to the present invention in detail, but the disclosure is not intended to limit the technical scope of the present invention.
It will be understood that, although the terms first, second, third, etc. may be used herein to describe various elements or signals, etc., these elements or signals should not be limited by these terms. These terms are used to distinguish one element from another element, or from one signal to another signal. In addition, as used herein, the term "or" may include all combinations of any one or more of the associated listed items as appropriate.
Fig. 1 is a schematic flow chart of a scheduling method 1000 of an air temperature conditioning system according to an embodiment of the present disclosure. The air temperature conditioning system to which the method 1000 is applied is located within or near the target area and is spatially connected to the target area. The scheduling method 1000 includes:
step S110 calculates an air temperature adjustment load of the target region in the first period based on the prediction parameter.
And step S120, adjusting the output power of the air temperature adjusting device according to the air temperature adjusting load, the equipment parameters of the air temperature adjusting device and the energy price in the first time period.
Alternatively, the target area may be a large indoor location, such as: airports, train stations, and large business centers, among others.
Alternatively, the first period mentioned in step S110 may be a period of time from the current time, such as 15 minutes, an hour, or a day, etc. The first period may also be a period of time from a future point in time, such as 15 minutes, 1 hour, 1 day, etc.
Alternatively, the prediction parameters mentioned in step S110 may include: weather, historical data, and a transaction schedule that occurs within the target area during the first time period. The weather may be the current weather or the weather of a future time period. The weather information can be obtained from weather forecasts and also from instruments used for measuring various parameters of the weather. The historical data may include air temperature conditioning load data within the target area over a past plurality of time periods; air temperature conditioning load data for other zones over the past several periods of time may also be included. The transaction arrangement may include: flight data, train data, large meeting schedules, and the like. The prediction parameters may include any one or more of the foregoing. And may also include its parameters for predicting the air temperature conditioning load.
Alternatively, step S110 may further include further subdividing the first period into a plurality of sub-periods, and calculating the air temperature adjustment load of the target area in each sub-period based on the predicted parameters.
Alternatively, the calculation method of the load mentioned in step S110 may be implemented by iterative modeling using a neural network algorithm.
Alternatively, the energy source mentioned in step S120 may include electric energy and fuel. The fuel may include coal, oil, natural gas, and the like. Further, the energy price mentioned in step S120 may include: the price of electricity and the price of fuel. Wherein the price of the electric energy can fluctuate, such as step price and peak-valley price. The fuel prices may include: coal prices, oil prices, and natural gas prices, among others.
Optionally, the device parameters mentioned in step S120 may include: maximum output power, minimum output power, maximum rate of change of output power, energy consumption-output power function. The maximum output power is the maximum value of the heating/cooling output of the air temperature adjusting device, and the minimum output power is the minimum value of the heating/cooling output of the air temperature adjusting device.
Further, the energy consumption-output power function may include: a fuel consumption-output power function and an electric energy consumption-output power function. The fuel consumption-output power function may be a function of output power for a variety of fuels, including coal, oil, and natural gas. The fuel consumption-output power function may be a linear function or a non-linear function.
Alternatively, the air temperature adjusting means mentioned in step S120 may include one or more of the following: the power generation type air temperature control device has a positive fuel consumption, a negative power consumption, and an output power of air temperature control power. The power generation type air temperature adjusting device may include a triple supply device. The power consumption type air temperature adjusting device has zero fuel consumption, positive power consumption and air temperature adjusting power output. Wherein the power consumption type air temperature adjusting apparatus may include: an electric refrigerator, a double-working-condition unit, an electric heating machine, a cold/heat accumulation device and the like. The fuel type air temperature adjusting device has a positive fuel consumption, a zero electric power consumption, and an output power of the air temperature adjusting device. Wherein the fuel type air temperature adjusting device may include: boilers, etc.
Further, step S120 may further include turning on/off the air temperature adjusting device according to the air temperature adjusting load for the first period, the equipment parameter of the air temperature adjusting device, and the energy price.
Optionally, step S120 may further include building a mathematical model of the air conditioning system according to the relations of equations (1), (2) and (3).
∑Pi＝Pload (1)
uiΔt≥ΔPi (2)
W＝∑∫[c1fi(Pi)+c2gi(Pi)]dt (3)
Wherein, PiFor ith device output power, uiIs the maximum rate of change of the i-th device output power, c1Is the fuel price; c. C2For the price of electric energy, fiAs a function of fuel consumption, giW is the economic consumption of the air temperature conditioning system during the first period of time as a function of the electrical energy consumption.
The minimum value of W can be obtained by solving the mathematical model composed of the expressions (1), (2) and (3). The method for solving may include a computer algorithm such as linear programming.
Optionally, step S120 may further include step S120A and step S120B. Wherein the content of the first and second substances,
step S120A, the cold/heat storage load is determined according to the air temperature adjustment load for the first period of time.
Step S120B, adjusting the cold/heat storage device according to the cold/heat storage load.
Further, the step S120A may further include determining the cold/heat storage load according to the air temperature adjustment load for the first period of time and the fluctuation characteristics of the energy price.
When there is fluctuation in energy prices of the working environment of the air conditioning system, such as peak-valley electricity prices and step electricity prices, the cold/heat storage load is determined according to the fluctuation characteristics of the energy prices. Surplus cooling capacity or heating capacity is produced in a time period when the energy price is low. The surplus heating energy can be stored in the form of hot water. The surplus refrigerating capacity can be utilized to make ice and store the ice, namely, cold accumulation or heat accumulation. The air temperature of the target area is adjusted using the stored hot water or ice to generate heating or cooling capacity during a period of time when the energy price is relatively high.
Specifically, there is a peak-to-valley electricity rate in the electricity rate of the area where the air conditioning system is located. In a first sub-period T of the first period1(for example, 8: 00-23: 00 per day) is the peak period of electricity utilization, and the price of electricity is c21(ii) a In a second sub-period T of the first period2(for example, 23:00 to 8:00 days of the day) is a power consumption valley period, and the price of electricity is c22. Wherein c is21>c22。
In the above application environment, the cold storage device may be an ice maker. The ice maker is characterized in that during the second sub-period T2Ice making and cold storage, and electric energy is consumed but refrigeration power output is not generated. I.e. in the second sub-period T2The ice maker. In a first sub-period T1The cold accumulation is used for outputting the refrigeration power, but the electric energy is not consumed. I.e. for ice machines the price of electric energy is constant c22(ii) a Second sub-period T2During this period, the output power P is 0. The mathematical characteristics of the ice maker and c2The variation characteristics of the formula (1), (2) and (3) are substituted, and the cold accumulation load can be obtained by solving.
The present application also provides an air temperature conditioning system, including: at least two air temperature adjusting devices communicated with the space of the target area; the scheduling device is in communication connection with at least two air temperature adjusting devices, a scheduling program is preset in the scheduling device, and when the scheduling program is executed, the scheduling device executes the method.
Alternatively, the table air temperature adjusting means may include: a power generation type air temperature adjusting device, a fuel type air temperature adjusting device, and/or a power consumption type air temperature adjusting device.
Wherein, the power generation type air temperature adjusting device can be triple supply equipment. The fuel type air conditioning device may be a boiler. The electricity consumption type air temperature adjusting apparatus may include: an electric refrigerator, a double-working-condition unit, an electric heating machine, a cold/heat accumulation device and the like. Wherein the cold storage device may include an ice making device and an ice storage facility, and the heat storage device may include a hot water storage facility.
Alternatively, the target area may be a large indoor location, such as an airport, a large commercial center at a train station, or the like.
It should be noted that the embodiments described above with reference to the drawings are only intended to illustrate the present invention and not to limit the scope of the present invention. It will be understood by those skilled in the art that various modifications and equivalent arrangements can be made without departing from the spirit and scope of the invention. Furthermore, unless the context indicates otherwise, words that appear in the singular include the plural and vice versa. Additionally, all or a portion of any embodiment may be utilized with all or a portion of any other embodiment, unless stated otherwise.
Claims (12)
1. A method of scheduling an air temperature conditioning system, wherein the system comprises at least two air temperature conditioning devices, the method comprising:
calculating an air temperature adjustment load of a target area during a first period of time according to the predicted parameters, wherein the at least two air temperature adjustment devices are communicated with a space of the target area;
calculating a minimum value of the economic consumption of the air temperature adjusting system in the first period of time according to the air temperature adjusting load, the equipment parameters of the air temperature adjusting devices and the energy price in the first period of time, and adjusting the output power of the air temperature adjusting devices using the output power values of the air temperature adjusting devices corresponding to the minimum value, including:
calculating an economic consumption of the air temperature adjusting system for the first period of time, adjusting an output power of the air temperature adjusting device using the following formula,
Pifor ith device output power, uiIs the maximum rate of change of the i-th device output power, c1Is the fuel price; c. C2For the price of electric energy, fiAs a function of fuel consumption, giW is the economic consumption of the air temperature conditioning system during the first time period as a function of the power consumption.
2. The method of claim 1, wherein predicting parameters comprises: historical data, weather forecasts, and/or a transaction schedule occurring within the first time period in the target area.
3. The method of claim 1, wherein the device parameters comprise: maximum output power, minimum output power, maximum rate of change of output power, energy consumption-output power function.
4. The method of claim 3, wherein the energy consumption-output power function comprises a fuel consumption-output power function and an electrical energy consumption-output power function.
5. The method of claim 1, wherein the air temperature conditioning device comprises:
a power generation type air temperature adjusting device, the fuel consumption of which is positive, the electric energy consumption of which is negative, and the output power of which is air temperature adjusting power;
a power consumption type air temperature adjusting device, wherein the fuel consumption is zero, the electric energy consumption is positive number, and the output power is air temperature adjusting power; and/or
The fuel type air temperature adjusting device has a positive fuel consumption, a zero electric power consumption, and an output power of the air temperature adjusting device.
6. The method of claim 1, wherein adjusting the output power of the air temperature conditioning device as a function of the air temperature conditioning load, the equipment parameters of the air temperature conditioning device, and the energy price for the first period of time comprises:
and turning on/off the air temperature adjusting device according to the air temperature adjusting load of the first time period, the equipment parameters and the energy price of the air temperature adjusting device.
7. The method of claim 1, the air temperature conditioning device comprising a cold/heat storage device, the adjusting the output power of the air temperature conditioning device as a function of the air temperature conditioning load for the first period of time, the device parameters and the energy price of the air temperature conditioning device, comprising:
determining a cold/heat accumulation load according to the air temperature adjustment load for the first period of time;
adjusting the cold/heat storage device according to the cold/heat storage load.
8. The method of claim 7, wherein determining a cold/heat storage load as a function of the air temperature conditioning load for the first period of time comprises:
and determining the cold/heat accumulation load according to the air temperature regulation load in the first time interval and the fluctuation characteristics of the energy price.
9. An air temperature conditioning system comprising:
at least two air temperature adjusting devices communicated with the space of the target area;
a scheduler communicatively connected to the at least two air temperature conditioning devices, wherein a scheduler is preset in the scheduler, and when executed, the scheduler is caused to perform the method according to any one of claims 1 to 8.
10. The system of claim 9, wherein the at least two air temperature conditioning devices comprise: a power generation type air temperature adjusting device, a fuel type air temperature adjusting device, and/or a power consumption type air temperature adjusting device.
11. The system of claim 9, wherein the at least two air temperature conditioning devices comprise: a cold/heat storage device.
12. The system of claim 9, wherein the target area is a large indoor venue.
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